Norwegian version
Stefano Nichele

Stefano Nichele

About

Stefano Nichele is Associate Professor at the Department of Computer Science. Nichele is the founder and deputy head of the Applied Artificial Intelligence research group. He recently started the Living Technology Lab, where artificial life and complex systems approaches are used to understand intelligence. He is also a member of the Autonomous Systems and Networks research group. Nichele is the founder and interim chair of the IEEE Norway Section Computational Intelligence Society Chapter.

Research interests:
- Artificial Life, Complex Systems, Evo-Devo, Cellular Automata
- Artificial Intelligence, Biological and Artificial Neural Networks, Deep Learning, Reservoir Computing
- Bio-inspired and Evolutionary Computation, Neuro-evolution

Research projects

  • FeLT- Futures of Living Technologies

    From a perspective of ecological crisis, FeLT- Futures of Living Technologies, engages in the relations and intersections that occur between human beings, living environments and machines, relations on the edge of how we experience aliveness today.

Scientific publications

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. Castillo, Pedro A.; Laredo, Juan Luis Jiménez; de Vega, Francisco Fernández (Ed.). Applications of Evolutionary Computation. p. 133-148. Springer.

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality. Cognitive Neurodynamics .
https://hdl.handle.net/11250/2657791

Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2020). Criticality as a measure of developing proteinopathy in engineered human neural networks. 22 p. BioRxiv.

Valderhaug, Vibeke Devold; Huse Ramstad, Ola; van de Wijdeven, Rosanne Francisca; Heiney, Kristine; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2020). Structural and functional alterations associated with the LRRK2 G2019S mutation revealed in structured human neural networks. 27 p. BioRxiv.

Mello, Gustavo; Pontes-Filho, Sidney; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi; Huse Ramstad, Ola; Sandvig, Axel; Nichele, Stefano (2020). Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). Chapter: Neuromorphic Cognitive Computing (SNCC). p. 2360-2366.
http://hdl.handle.net/11250/2644970

Heiney, Kristine; Huse Ramstad, Ola; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (2020). Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). Chapter: Artificial Life (ALIFE). p. 246-253.
https://ieeexplore.ieee.org/document/9002693

Zhang, Jianhua; Li, Jianrong; Nichele, Stefano (2020). Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. p. 409-415.

Zhang, Jianhua; Chen, Peng; Nichele, Stefano; Yazidi, Anis (2020). Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. p. 403-408.

Berg, Joachim; Berggren, Nils Gustav Andreas; Borgeteien, Sivert; Jahren, Christian; Sajid, Arqam; Nichele, Stefano (2019). Evolved Art with Transparent, Overlapping, and Geometric Shapes. Bach, Kerstin; Ruocco, Massimiliano (Ed.). Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019. 1. p. 3-15. Springer.

Hanssen, Anders Braarud; Nichele, Stefano (2019). Ethics of Artificial Intelligence Demarcations. Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. 13. p. 133-142. Springer.





These publications are obtained from Cristin. The list may be incomplete